Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are implementing an Azure AI Search solution that must index data from an Azure SQL Database named SalesDB. Only rows added or updated since the previous indexing run should be processed. You have already created an Azure AI Search index named sales-index. When creating the data source in the Azure portal, which configuration must you set to achieve this requirement?
Set the indexer schedule to run in incremental mode with a daily frequency.
Define a connection policy that uses managed identity authentication instead of a connection string.
Configure a high-watermark change detection policy that references the LastModifiedDate column.
Configure a soft delete policy that identifies inactive records by the IsDeleted column.
Incremental indexing in Azure AI Search for Azure SQL data sources is enabled by adding a high-watermark change detection policy. The policy points to a column whose value monotonically increases (for example, a LastModifiedDate or rowversion column). During each run, the indexer remembers the last value it processed and requests only newer rows, ensuring that inserts and updates are picked up without re-crawling unchanged data.
A soft delete policy is used to remove records that are flagged as deleted, not to detect changes. Managed identity authentication affects connectivity, not change detection. The indexer schedule controls when a crawl occurs, but without a high-watermark column the indexer has no way to determine which rows are new or changed, so an incremental schedule alone is insufficient.
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Microsoft Azure AI Engineer Associate AI-102
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